A dual model approach to EOG-based human activity recognition
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Bangyan Zhou | Zhao Lv | Chao Zhang | Yu Lu | Xiangping Gao | Chao Zhang | Zhao Lv | Xiangping Gao | B. Zhou | Yu Lu
[1] Sudesh Pundir,et al. ROC Curve and AUC for A Left-Truncated Sample from Rayleigh Distribution , 2015 .
[2] Andrew T. Duchowski,et al. Eye Tracking Methodology: Theory and Practice , 2003, Springer London.
[3] Syed Abdul Rahman Al-Haddad,et al. Multiclass Support Vector Machines for Classification of ECG Data with Missing Values , 2015, Appl. Artif. Intell..
[4] Xu Sun,et al. A Fast Algorithm for Unbiased Estimation of Variance of AUC Based on Dynamic Programming , 2016, IEEE Access.
[5] K. Latha,et al. Feature Selection in Classification of Eye Movements Using Electrooculography for Activity Recognition , 2014, Comput. Math. Methods Medicine.
[6] Chang-Hwan Im,et al. Real-Time “Eye-Writing” Recognition Using Electrooculogram , 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[7] M. Miyashita,et al. Mouse cursor control system using electrooculogram signals , 2010, 2010 World Automation Congress.
[8] Marcello Federico,et al. Bayesian estimation methods for n-gram language model adaptation , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.
[9] Jelena Graovac. A variant of n-gram based language- independent text categorization , 2014, Intell. Data Anal..
[10] Bernt Schiele,et al. A tutorial on human activity recognition using body-worn inertial sensors , 2014, CSUR.
[11] R. Schleicher,et al. Blinks and saccades as indicators of fatigue in sleepiness warners: looking tired? , 2022 .
[12] Juan E. Tapiador,et al. A Survey of Wearable Biometric Recognition Systems , 2016, ACM Comput. Surv..
[13] Yasuharu Koike,et al. Online classification algorithm for eye-movement-based communication systems using two temporal EEG sensors , 2015, Biomed. Signal Process. Control..
[14] Amit Konar,et al. Eye movement sequence analysis using electrooculogram to assist autistic children , 2014, Biomed. Signal Process. Control..
[15] E. Gordon,et al. Defining the temporal threshold for ocular fixation in free-viewing visuocognitive tasks , 2003, Journal of Neuroscience Methods.
[16] Tusar Kanti Mishra,et al. Human recognition system for outdoor videos using Hidden Markov model , 2014 .
[17] Mengmeng Zhang,et al. Research on Activity Recognition Method based on Human Motion Trajectory Features , 2012 .
[18] J.K. Aggarwal,et al. Human activity analysis , 2011, ACM Comput. Surv..
[19] Xiaopei Wu,et al. A novel saccade signals detection algorithm for EOG-based Human Activity Recognition , 2015 .
[20] Gerhard Tröster,et al. Eye Movement Analysis for Activity Recognition Using Electrooculography , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Christopher J. C. Burges,et al. A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.
[22] Davide Anguita,et al. Transition-Aware Human Activity Recognition Using Smartphones , 2016, Neurocomputing.
[23] Nurul Muthmainnah Mohd Noor,et al. Study the different level of eye movement based on electrooculography (EOG) technique , 2016, 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES).
[24] Amit Konar,et al. Electrooculogram based cognitive context recognition , 2014, International Conference on Electronics, Communication and Instrumentation (ICECI).
[25] Lianwen Jin,et al. Ensemble Manifold Rank Preserving for Acceleration-Based Human Activity Recognition , 2016, IEEE Transactions on Neural Networks and Learning Systems.